HeadyZhang/agent-audit

Description and use

**Brief Summary**
HeadyZhang/agent‑audit is an open‑source static security scanner for LLM‑driven agents. It detects prompt‑injection, mis‑configured MCP settings, and taint‑flow issues across 51 rules aligned with the OWASP Agentic Top 10 (2026) and integrates seamlessly with LangChain, CrewAI and AutoGen. With 192 ⭐ on GitHub and recent commits, it’s a mature, Python‑based tool for hardening multi‑agent workflows.

**Value**

• **Security‑first agent development:** By automatically auditing prompts, tool‑use pipelines, and memory handling, the scanner lets teams catch agentic attack surfaces early, reducing costly post‑deployment breaches.
• **Standardised compliance:** The OWASP Agentic Top 10 mapping gives a clear, industry‑aligned checklist, making audits auditable and repeatable.
• **Workflow acceleration:** Developers can safely compose complex, multi‑agent orchestrations (e.g., LangChain chains, CrewAI crews, AutoGen collaborations) knowing that each component passes a consistent security baseline.

**Practical Adoption Path**

1. **Integrate the CLI/SDK** into CI pipelines (e.g., GitHub Actions, Azure Pipelines) to run static scans on every PR that adds or modifies agent code.
2. **Add a pre‑commit hook** for local developers to get immediate feedback on prompt‑injection or taint‑flow issues.
3. **Configure language‑specific adapters** for LangChain, CrewAI, or AutoGen projects, pointing the scanner at the agent definition files and tool‑use specifications.
4. **Consume the JSON report** in existing monitoring dashboards or ticketing systems to track remediation progress and enforce policy gates before promotion to staging or production.

**Production Readiness**

• **Active maintenance:** Last commit on 2026‑07‑04, steady issue response, and a growing user base (192 ⭐, 22 forks).
• **Ecosystem fit:** Native support for the three leading LLM‑agent frameworks and a clear API/CLI surface make integration low‑friction.
• **Risk profile:** No critical licensing or security red flags identified, though a final review of the maintainer’s activity and vulnerability disclosures is advisable.

Overall, the project is production‑ready for pilot deployments and can be scaled to enterprise‑grade agent pipelines with minimal overhead.

Use in a workflow

HeadyZhang/agent-audit helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.